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Featured researches published by Joseph P. Drozda.


Journal of the American College of Cardiology | 2012

The Worldwide Environment of Cardiovascular Disease: Prevalence, Diagnosis, Therapy, and Policy Issues: A Report From the American College of Cardiology

Lawrence J. Laslett; Peter Alagona; Bernard A. Clark; Joseph P. Drozda; Frances Saldivar; Sean R. Wilson; Chris Poe; Menolly Hart

The environment in which the field of cardiology finds itself has been rapidly changing. This supplement, an expansion of a report created for the Board of Trustees, is intended to provide a timely snapshot of the socio-economic, political, and scientific aspects of this environment as it applies to practice both in the United States and internationally. This publication should assist healthcare professionals looking for the most recent statistics on cardiovascular disease and the risk factors that contribute to it, drug and device trends affecting the industry, and how the practice of cardiology is changing in the United States.


Circulation | 2011

ACCF/AHA/AMA-PCPI 2011 performance measures for adults with coronary artery disease and hypertension: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Performance Measures and the American Medical Association-Physician Consortium for Performance Improvement.

Joseph P. Drozda; Joseph V. Messer; John A. Spertus; Bruce Abramowitz; Karen P. Alexander; Craig Beam; Robert O. Bonow; Jill S. Burkiewicz; Michael Crouch; David Goff; Richard Hellman; Thomas L. James; Marjorie L. King; Edison A. MacHado; Eduardo Ortiz; Michael F. O'Toole; Stephen D. Persell; Jesse M. Pines; Frank J. Rybicki; Joanna D. Sikkema; Peter K. Smith; Patrick J. Torcson; John Wong

Eric D. Peterson, MD, MPH, FACC, FAHA, Chair; Frederick A. Masoudi, MD, MSPH, FACC, FAHA[†††][1]; Elizabeth DeLong, PhD; John P. Erwin III, MD, FACC; Gregg C. Fonarow, MD, FACC, FAHA; David C. Goff, Jr., MD, PhD, FAHA, FACP; Kathleen Grady, PhD, RN, FAHA, FAAN; Lee A. Green, MD, MPH; Paul A.


Circulation | 2010

ACCF/AHA New Insights Into the Methodology of Performance Measurement A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Performance Measures

John A. Spertus; Robert O. Bonow; Paul S. Chan; George A. Diamond; Joseph P. Drozda; Sanjay Kaul; Harlan M. Krumholz; Frederick A. Masoudi; Sharon-Lise T. Normand; Eric D. Peterson; Martha J. Radford; John S. Rumsfeld

Since the publication of the initial American College of Cardiology (ACC)/American Heart Association (AHA) Methodology for the Selection and Creation of Performance Measures,1 there has been an explosion in the development and application of performance measures. Although initially envisioned as a means for physician-led quality-improvement efforts, performance measures have been primarily used as tools for accountability and performance-based reimbursement instead. Given the centrality of and experience with performance measures for quantifying healthcare quality, the American College of Cardiology Foundation (ACCF)/AHA Task Force on Performance Measures sought to update its methodology so that ongoing efforts to measure performance could benefit from emerging insights. The original methodology, proposed in 2005,1 remains the foundation for developing process performance measures. The principal recommendations of the 2005 report are summarized in Table 1. The 2010 report does not address detailed issues of analysis,3 pay for performance,4 or nonfinancial rewards for better performance5 because these topics have been addressed in other statements. The focus of the 2010 report is to provide a state-of-the-art perspective on the construction, collection, and emerging directions of performance measurement as a means to improve healthcare quality. View this table: Table 1. ACCF/AHA Attributes of Performance Measures Figure 1. An overview of the steps in providing care by domain. Reprinted from Spertus et al.1 Performance measures that articulate discrete processes of care, as opposed to structural aspects of care or outcomes, are distinctly different from both clinical practice guidelines and appropriate use criteria because they represent a subset of the clinical guidelines for which the evidence is sufficiently strong: typically where the highest-quality evidence of benefit unequivocally exceeds risk (Class I recommendation, Level of Evidence: A),8 failure to provide the therapy to an eligible patient meaningfully reduces the likelihood that the patient will experience the best possible outcome. In this report, …


Circulation | 2013

Comparison of Clinical Interpretation with Visual Assessment and Quantitative Coronary Angiography in Patients Undergoing Percutaneous Coronary Intervention in Contemporary Practice: The Assessing Angiography (A2) Project

Brahmajee K. Nallamothu; John A. Spertus; Alexandra J. Lansky; David J. Cohen; Philip G. Jones; Faraz Kureshi; Gregory J. Dehmer; Joseph P. Drozda; Mary Norine Walsh; John E. Brush; Gerald C. Koenig; Thad F. Waites; D. Scott Gantt; George Kichura; Richard A. Chazal; Peter K. O’Brien; C. Michael Valentine; John S. Rumsfeld; Johan H. C. Reiber; Joann G. Elmore; Richard A. Krumholz; W. Douglas Weaver; Harlan M. Krumholz

Background— Studies conducted decades ago described substantial disagreement and errors in physicians’ angiographic interpretation of coronary stenosis severity. Despite the potential implications of such findings, no large-scale efforts to measure or improve clinical interpretation were subsequently undertaken. Methods and Results— We compared clinical interpretation of stenosis severity in coronary lesions with an independent assessment using quantitative coronary angiography (QCA) in 175 randomly selected patients undergoing elective percutaneous coronary intervention at 7 US hospitals in 2011. To assess agreement, we calculated mean difference in percent diameter stenosis between clinical interpretation and QCA and a Cohen weighted &kgr; statistic. Of 216 treated lesions, median percent diameter stenosis was 80.0% (quartiles 1 and 3, 80.0% and 90.0%), with 213 (98.6%) assessed as ≥70%. Mean difference in percent diameter stenosis between clinical interpretation and QCA was 8.2±8.4%, reflecting an average higher percent diameter stenosis by clinical interpretation (P<0.001). A weighted &kgr; of 0.27 (95% confidence interval, 0.18–0.36) was found between the 2 measurements. Of 213 lesions considered ≥70% by clinical interpretation, 56 (26.3%) were <70% by QCA, although none were <50%. Differences between the 2 measurements were largest for intermediate lesions by QCA (50% to <70%), with variation existing across sites. Conclusions— Physicians tended to assess coronary lesions treated with percutaneous coronary intervention as more severe than measurements by QCA. Almost all treated lesions were ≥70% by clinical interpretation, whereas approximately one quarter were <70% by QCA. These findings suggest opportunities to improve clinical interpretation of coronary angiography.


Journal of the American College of Cardiology | 2010

ACCF/AHA New Insights Into the Methodology of Performance Measurement

John A. Spertus; Robert O. Bonow; Paul S. Chan; George A. Diamond; Joseph P. Drozda; Sanjay Kaul; Harlan M. Krumholz; Frederick A. Masoudi; Sharon-Lise T. Normand; Eric D. Peterson; Martha J. Radford; John S. Rumsfeld

Since the publication of the initial American College of Cardiology (ACC)/American Heart Association (AHA) Methodology for the Selection and Creation of Performance Measures,1 there has been an explosion in the development and application of performance measures. Although initially envisioned as a means for physician-led quality-improvement efforts, performance measures have been primarily used as tools for accountability and performance-based reimbursement instead. Given the centrality of and experience with performance measures for quantifying healthcare quality, the American College of Cardiology Foundation (ACCF)/AHA Task Force on Performance Measures sought to update its methodology so that ongoing efforts to measure performance could benefit from emerging insights. The original methodology, proposed in 2005,1 remains the foundation for developing process performance measures. The principal recommendations of the 2005 report are summarized in Table 1. The 2010 report does not address detailed issues of analysis,3 pay for performance,4 or nonfinancial rewards for better performance5 because these topics have been addressed in other statements. The focus of the 2010 report is to provide a state-of-the-art perspective on the construction, collection, and emerging directions of performance measurement as a means to improve healthcare quality. View this table: Table 1. ACCF/AHA Attributes of Performance Measures Figure 1. An overview of the steps in providing care by domain. Reprinted from Spertus et al.1 Performance measures that articulate discrete processes of care, as opposed to structural aspects of care or outcomes, are distinctly different from both clinical practice guidelines and appropriate use criteria because they represent a subset of the clinical guidelines for which the evidence is sufficiently strong: typically where the highest-quality evidence of benefit unequivocally exceeds risk (Class I recommendation, Level of Evidence: A),8 failure to provide the therapy to an eligible patient meaningfully reduces the likelihood that the patient will experience the best possible outcome. In this report, …


Journal of the American College of Cardiology | 2011

ACCF/AHA/AMA–PCPI 2011 Performance Measures for Adults With Coronary Artery Disease and Hypertension

Joseph P. Drozda; Joseph V. Messer; John A. Spertus; Bruce Abramowitz; Karen P. Alexander; Craig Beam; Robert O. Bonow; Jill S. Burkiewicz; Michael Crouch; David C. Goff; Richard Hellman; Thomas L. James; Marjorie L. King; Edison A. MacHado; Eduardo Ortiz; Michael F. O'Toole; Stephen D. Persell; Jesse M. Pines; Frank J. Rybicki; Joanna D. Sikkema; Peter K. Smith; Patrick J. Torcson; John Wong

Developed in Collaboration With the American Academy of Family Physicians, American Association of Cardiovascular and Pulmonary Rehabilitation, American Association of Clinical Endocrinologists, American College of Emergency Physicians, American College of Radiology, American Nurses Association, American Society of Health-System Pharmacists, Society of Hospital Medicine, and Society of Thoracic Surgeons


Circulation | 2011

ACCF/AHA Methodology for the Development of Quality Measures for Cardiovascular Technology A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Performance Measures

Robert O. Bonow; Pamela S. Douglas; Alfred E. Buxton; David J. Cohen; Jeptha P. Curtis; Elizabeth R. DeLong; Joseph P. Drozda; T. Bruce Ferguson; Paul A. Heidenreich; Robert C. Hendel; Frederick A. Masoudi; Eric D. Peterson; Allen J. Taylor

Consistent with the growing national focus on healthcare quality, the American College of Cardiology Foundation (ACCF) and the American Heart Association (AHA) have taken a leadership role over the past decade in developing measures of the quality of cardiovascular care by convening a joint ACCF/AHA Task Force on Performance Measures. The Task Force is charged with identifying the clinical topics appropriate for the development of performance measures and with assembling writing committees composed of clinical and methodological experts in collaboration with appropriate subspecialty societies. The Task Force has also created methodology documents that offer guidance in the development of process, outcome, composite, and efficiency measures. Cardiovascular performance measures using existing ACCF/AHA methodology are based on Class I or Class III guidelines recommendations, usually with Level A evidence. These performance measures, based on evidence-based ACCF/AHA guidelines, remain the most rigorous quality measures for both internal quality improvement and public reporting. However, many of the tools for diagnosis and treatment of cardiovascular disease involve advanced technologies, such as cardiac imaging, for which there are often no underlying guideline documents. Because these technologies affect the quality of cardiovascular care and also have the potential to contribute to cardiovascular health expenditures, there is a need for more critical assessment of the use of technology, including the development of quality and performance measures in areas in which guideline recommendations are absent. The evaluation of quality in the use of cardiovascular technologies requires consideration of multiple parameters that differ from other healthcare processes. The present document describes methodology for development of 2 new classes of quality measures in these situations, appropriate use measures and structure/safety measures. Appropriate use measures are based on specific indications, processes, or parameters of care for which high level of evidence data and Class I or Class III guideline recommendations may be lacking but are addressed in ACCF appropriate use criteria documents. Structure/safety measures represent measures developed to address structural aspects of the use of healthcare technology (e.g., laboratory accreditation, personnel training, and credentialing) or quality issues related to patient safety when there are neither guidelines recommendations nor appropriate use criteria. Although the strength of evidence for appropriate use measures and structure/safety measures may not be as strong as that for formal performance measures, they are quality measures that are otherwise rigorously developed, reviewed, tested, and approved in the same manner as ACCF/AHA performance measures. The ultimate goal of the present document is to provide direction in defining and measuring the appropriate use-avoiding not only underuse but also overuse and misuse-and proper application of cardiovascular technology and to describe how such appropriate use measures and structure/safety measures might be developed for the purposes of quality improvement and public reporting. It is anticipated that this effort will help focus the national dialogue on the use of cardiovascular technology and away from the current concerns about volume and cost alone to a more holistic emphasis on value.


Journal of the American College of Cardiology | 2015

2015 ACC/HRS/SCAI Left Atrial Appendage Occlusion Device Societal Overview

Frederick A. Masoudi; Hugh Calkins; Clifford J. Kavinsky; Joseph P. Drozda; Phillip Gainsley; David J. Slotwiner; Zoltan G. Turi

Left atrial appendage (LAA) occlusion devices have the potential to influence the clinical approach to stroke prevention in patients with atrial fibrillation (AF). A number of percutaneous techniques have been proposed, including intracardiac plugs and external ligation. Several devices have been


Journal of the American College of Cardiology | 2008

ACCF 2008 health policy statement on principles for public reporting of physician performance data: A Report of the American College of Cardiology Foundation Writing Committee to develop principles for public reporting of physician performance data.

Joseph P. Drozda; Eileen Hagan; Michael J. Mirro; Eric D. Peterson; Janet S. Wright

Janet S. Wright, MD, FACC, Chair Kathleen Blake, MD, FACC Robert O. Bonow, MD, FACC Ralph G. Brindis, MD, FACC John E. Brush, Jr, MD, FACC Joseph G. Cacchione, MD, FACC Gregory J. Dehmer, MD, FACC Joseph P. Drozda, Jr, MD, FACC Kim A. Eagle, MD, FACC James W. Fasules, MD, FACC Kathleen B


Circulation-cardiovascular Quality and Outcomes | 2015

ACC/AHA/STS Statement on the Future of Registries and the Performance Measurement Enterprise A Report of the American College of Cardiology/American Heart Association Task Force on Performance Measures and The Society of Thoracic Surgeons

Deepak L. Bhatt; Joseph P. Drozda; David M. Shahian; Paul S. Chan; Gregg C. Fonarow; Paul A. Heidenreich; Jeffrey P. Jacobs; Frederick A. Masoudi; Eric D. Peterson; Karl F. Welke; Aha Task Force On Performance Measures; Nancy M. Albert; Lesley H. Curtis; T. Bruce Ferguson; P. Michael Ho; Corrine Y. Jurgens; Sean M. O’Brien; Andrea M. Russo; Randal J. Thomas; Henry H. Ting; Paul D. Varosy

This document was commissioned to provide a perspective on clinical registries; to identify specific future opportunities for registries to comprise an informatics infrastructure for quality and efficiency measures that are used for accountability; and to propose a model for a future state characterized by an increasingly close inter-relationship between registries and performance measure development. Specifically, this statement focuses on how registries and performance measures are intertwined and how …

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Frederick A. Masoudi

VA Palo Alto Healthcare System

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John A. Spertus

University of Missouri–Kansas City

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John S. Rumsfeld

University of Colorado Denver

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David M. Shahian

American College of Physicians

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Paul S. Chan

American Medical Association

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